Senior Technical Program Manager I, Machine Learning, Google Cloud Platforms
Company: Google
Location: Kirkland
Posted on: April 1, 2026
|
|
|
Job Description:
info_outline X In accordance with Washington state law, we are
highlighting our comprehensive benefits package, which is available
to all eligible US based employees. Benefits for this role include:
Health, dental, vision, life, disability insurance Retirement
Benefits: 401(k) with company match Paid Time Off: 20 days of
vacation per year, accruing at a rate of 6.15 hours per pay period
for the first five years of employment Sick Time: 40 hours/year
(statutory, where applicable); 5 days/event (discretionary)
Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note:
By applying to this position you will have an opportunity to share
your preferred working location from the following: Kirkland, WA,
USA; Sunnyvale, CA, USA . Minimum qualifications: Bachelor's degree
in a relevant field, or equivalent practical experience. 8 years of
experience in program management. 8 years of machine learning work
experience. Preferred qualifications: 8 years of experience
managing cross-functional or cross-team projects. About the job A
problem isn’t truly solved until it’s solved for all. That’s why
Googlers build products that help create opportunities for
everyone, whether down the street or across the globe. As a
Technical Program Manager at Google, you’ll use your technical
expertise to lead complex, multi-disciplinary projects from start
to finish. You’ll work with stakeholders to plan requirements,
identify risks, manage project schedules, and communicate clearly
with cross-functional partners across the company. You're equally
comfortable explaining your team's analyses and recommendations to
executives as you are discussing the technical tradeoffs in product
development with engineers. The ML, Systems, & Cloud AI (MSCA)
organization at Google designs, implements, and manages the
hardware, software, machine learning, and systems infrastructure
for all Google services (Search, YouTube, etc.) and Google Cloud.
Our end users are Googlers, Cloud customers and the billions of
people who use Google services around the world. We prioritize
security, efficiency, and reliability across everything we do -
from developing our latest TPUs to running a global network, while
driving towards shaping the future of hyperscale computing. Our
global impact spans software and hardware, including Google Cloud’s
Vertex AI, the leading AI platform for bringing Gemini models to
enterprise customers. The US base salary range for this full-time
position is $192,000-$278,000 bonus equity benefits. Our salary
ranges are determined by role, level, and location. Within the
range, individual pay is determined by work location and additional
factors, including job-related skills, experience, and relevant
education or training. Your recruiter can share more about the
specific salary range for your preferred location during the hiring
process. Please note that the compensation details listed in US
role postings reflect the base salary only, and do not include
bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities Implement communications standards across a
portfolio of programs including executive and key partner
communications. Establish a reliable and visible cadence for
program reviews, decision-making, prioritization, and Resource
Stewardship (effective deployment of machine and people resources)
whereby improvements such as efficiency and utilization gains are
measurable and the impact can be felt organization wide. Lead a
governance structure that drives effective executive
decision-making. Ensure governance structure effectively exposes
and mitigates dependencies. Seek out and identify change management
opportunities that increase program velocity and which affect
multiple teams. Define/manage a program portfolio solving problems
that target high business impact for the organization and product
area.
Keywords: Google, Lakewood , Senior Technical Program Manager I, Machine Learning, Google Cloud Platforms, IT / Software / Systems , Kirkland, Washington
